Tech Lead - AI

About Info Edge India Ltd.  

InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent.

Team: AI Architecture – Central AI Function

Title: Technical Lead AI

Educational Qualification: BTech / MTech from IITs, NITs, BITS Pilani, NSUT, DTU, IIITs, or other premier engineering institutes, with relevant experience.

Experience: 5-7 Years

Job Objective:

We are looking for an AI Engineer with 5+ years of experience to join the Info Edge AI architecture team. In this role, you will be helping to build AI systems. You will lead the implementation of complex architectural designs, guide on the R&D-to-production lifecycle management, and help define scalable system for traditional machine learning and cutting-edge Agentic AI frameworks. 

Key Responsibilities: 

• Partner directly with head AI Architect to design scalable, secure, and modular AI/ML platforms. 

• Design and implement centralized ML platform including feature store, model registry, experiment tracking, serving and inference layer. 

• Help to build establish MLOps best practices: CI/CD for ML, model versioning, drift detection, automated retraining pipelines etc. 

• Architect, scale and implement complex multi-agent architectures, tool calling, stateful reasoning loops, and advanced RAG systems. 

• Collaborate with ML, DS, and Engineering teams to architect the DS/ML capabilities into the AI platform.  

• Own the entire lifecycle of POCs—from experimental research and algorithmic design for AI Platform.  

• Guide junior engineers and peers, establish engineering standards, and conduct rigorous code and design reviews. 

Required Technical Stack & Skills 

• 5+ years in ML Engineering, Data Science or AI Platform roles 

• Expert-level Python with a deep understanding of software design patterns, system architecture, and performance optimization. 

• Proven production experience building and deploying multi-agent applications (LangGraph, semantic routing, tool-calling agents). 

• Exceptional capability to read cutting-edge AI research papers and engineer production-grade implementations swiftly. 

• Experience with MLflow, Kubeflow, or similar experiment tracking / pipeline orchestration 

• Experience with REST APIs (FastAPI/Flask) and containerization (Docker) 

• Basic knowledge of DS theory, including classification, regression, clustering, ranking methods and evaluation.  

• Hands-on experience working with Vector Databases (e.g. - Milvus, Chroma) 

• Understanding of Evaluation Framework for generative applications.  

Desired Skills:

• Ability to understand Business challenges and define solutions aligned to the needs.

Why Join us: 

This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast- paced environment and are ready to enhance their skills by learning something new. Being a part of the InfoEdge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing.  To learn more about Info Edge visit http://www.infoedge.in/